Marketing Data Analyst - Lisbon

Marketing Data Analyst - Lisbon

Department: Business Operations

Employment Type: Contract

Location: Portugal

Description

Location: Lisbon, Portugal

Contract Type: 12‑month rolling contract

Algo
Marketing is a global team of marketing experts operating across 30+ countries in Asia Pacific, the Americas, Africa, and Europe. We specialize in enterprise B2B marketing, particularly within the technology and Saa
S sectors, delivering strategic marketing programs and resourcing solutions for large, complex organizations. We combine deep marketing experience with advanced data‑driven methodologies — what we call Algorithmic Marketing — to help clients achieve faster insights, greater efficiency, and operational excellence.

In partnership with a leading global B2B Saa
S brand, Algo
Marketing operates a Centre of Excellence (Co
E) based in Lisbon, Portugal, driving marketing best practices, innovation, and scalable operational excellence across EMEA.

Role

You’ll be an Events Audience & Data Operations Analyst, managing data operations, tooling, and analytics for high‑profile marketing events and executive programs. You’ll own the full event data lifecycle — from nomination and invitation through to registration, attendance, and post‑event reporting. This includes managing integrations between internal booking tools and external RSVP platforms, resolving identities across multiple data sources, and maintaining a single source of truth for all audience data.

You’ll deliver real‑time dashboards, respond to ad‑hoc stakeholder requests, and ensure accurate next‑day reporting after key events.

Key Responsibilities

• Maintain data accuracy and eliminate duplication across internal and external systems.
• Conduct regular QA audits and ensure alignment with Co
  E data quality standards.
• Generate insights and performance metrics to support decision‑making.
• Validate data pipelines and reporting accuracy across campaign touchpoints.
• Deliver ongoing summaries and insights for leadership and planning sessions.
• Manage data stitching across multiple sources (booking tools, CRM, partner lists, scanner data).
• Define matching logic, validation protocols, and fallback hierarchies.
• Conduct audits to ensure data completeness and integrity.
• Apply analytical rigor to surface actionable event insights.
• Build and manage daily dashboards for Sales and Leadership.
• Deliver ad‑hoc insights and query‑based analyses for business reviews.
• Perform post‑event reconciliation and prepare verified KPI reporting.
• Support regional and global performance reviews with timely metrics.
• Provide real‑time monitoring and troubleshooting for virtual and hybrid events.
• Coordinate with vendors to ensure scanner and accreditation data accuracy.
• Finalize attendance and performance figures within 24 hours of event close.
• Act as the DACH event data lead, coordinating twice‑weekly syncs and daily operational updates.
• Collaborate with stakeholders across Marketing, Sales, Comms, and Analytics.
• Document workflows, tools, and schemas for cross‑team visibility.
• Identify automation and standardization opportunities to improve efficiency.
• Uphold governance standards and maintain alignment with Co
  E frameworks.

Qualifications

• 5+ years of experience in marketing analytics, CRM performance, or campaign measurement.
• Proficiency with data visualization tools (Looker Studio, Tableau, Power BI).
• Strong knowledge of analytics and tracking tools (Google Analytics, Tag Manager).
• Familiarity with SQL or query tools for audience and performance data.
• Understanding of email performance metrics, attribution, and engagement funnels.
• Experience with CRM segmentation and targeting logic.
• Skilled in data storytelling — translating insights into actionable recommendations.
• Comfortable preparing executive‑level reports and summaries.

Personal Traits

• Analytical yet creative thinker with curiosity for insights behind the data.
• Calm, structured, and proactive problem solver.
• Excellent communicator who can simplify complexity for non‑technical audiences.
• Collaborative team player with strong accountability for data quality.
• Self‑motivated with a strong sense of ownership and delivery.